Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications

Session: Chapter 4: Intelligent Algorithms and Simulation Application

25 articles

SimStore: Efficient Data Management for Network Propagation Simulation

Dacheng Qu, Lin Zhang, Zhao Cao
Simulation is widely adopted in large scale network propagation analytics. Plenty of analytics scenarios require to retrieve, review the simulation status of a given time points or interval. Unfortunately, it is unaffordable to re-run the simulation due to the long running time and other costs in many...

Existence of Solutions to Generalized Vector Quasi-equilibrium Problems with Set-Valued Mappings

Yali Zhao, Hong Lu, Chao Wang
In this paper, we introduce and study a class of generalized vector quasi-equilibrium problems, which includes generalized vector quasi-variational-like inequality problems, generalized vector equilibrium problems, generalized vector variational inequality problems as special cases. We use the maximal...

Research on Real-world Multidimensional Stroke Ontology and Its Reasoning for Construction of the Evolution Model

Luan Gao, Fenggang Li, Jian Wang, Zhenguo Wang, Lin Luo, Xiaozhi Gao
The research planed to gather and standard the real world stroke clinical data from clinica to construct a stroke ontology corpus, through refactoring and sharing of data, established a multi-dimensional stroke ontology. And based on stroke diagnosis and treatment process, it integrated the evolution...

Distance and Similarity Measures for Intuitionistic Hesitant Fuzzy Sets

Xiuming Chen, Jingming Li, Li Qian, Xiande Hu
As generalize of the hesitant fuzzy sets, intuitionistic hesitant fuzzy sets (IHFSs), which permits a memberships degree and a non-membership degree of an element to a given set, can be considered as a useful tool to express uncertain information in the human decision making process. Based on the traditional...

An Apriori Based Algorithm Associated Point Line Pattern Applied in Seismic Spatial Data

Yuan Zhou, Lianxiong Gao
earthquake data in spatial database include two typical types point and line feature, this paper propose an algorithm based on apriori for analysis spatial association pattern during point and line feature, and description algorithm process. since the algorithm is a probability-based mining algorithm,...

Random Forest Regression Based on Partial Least Squares Connect Partial Least Squares and Random Forest

Zhulin Hao, Jianqiang Du, Bin Nie, Fang Yu, Riyue Yu, Wangping Xiong
Partial Least Squares (PLS) Regression is lack of theoretical guidance of rules to achieve the nonlinear by the quasi linearization rule, and its accuracy declines in the face of the unknown variables distribution. Furthermore, the loss of information is easy to arise for the mean processing of the leaf...

Enhancement in Realistic Fluid Re-simulation

Yahui Song, Hongyan Quan, Yuwen Huang
Re-simulating a 3D fluid result from video while retaining and rendering details is significant in practice, which still remains a difficult task in spite of rapid advancements in this field during the last two decades. Physically driven models can be easily extended to handle fluid, yet they are unable...

Optimization of Rainfall Sensor Network Layout Based on the Correlation Coefficient Method

Hongling Zhao, Haibo Yang, Zongmin Wang
The unreasonable layout of rain sensor networks results in various problems, such as the redundancy of observation nodes, large daily maintenance overhead, and the difficulty of solving faults in real time. A sensor network optimization algorithm based on the correlation coefficient method is proposed...

A Complex IT Model System Based on Hierarchical Semantic Network

Jianmin Hao, Zefeng Song
With the continuous development of IT system in enterprises, the more complicated IT system framework rising up. IT system operation becomes more and more difficult. In order to improve the ability of IT management, a complex IT model system is built up along with establishing semantic network of complex...

Overview of Audio Watermarking Algorithm against Synchronization Attacks

Haiyan Liu, Wuyi Zhang
T Synchronization is the one of the most important issues in digital audio watermarking algorithms. This paper describes the audio watermarking algorithms against synchronization attacks, introduces the advantages and disadvantages of each algorithm in detail. The article finally discusses the existing...

Inexpensive HMC+DRAM Hybrid Main Memory Architecture with LRU-based Data Distribution Management

Ying Zhou, Lin Zhang, Shuang Niu, Shulin Zhao
The Hybrid Memory Cube (HMC) is a 3-D-stacked DRAM architecture whose I/O interface achieves up to 320 GB/s of external bandwidth. Therefore, the HMC is a promising alternative to DDRx memory due to its potential to achieve substantially improved memory bandwidth. However, the high price of a HMC device...

Information System Domain Modeling for Adaptive Learning

Anqi Chen, Jimei Li
To meet the need of the adaptive learning platform, the relevant research results of the domain modeling have been analyzed and compared in this paper, including the methods of domain knowledge representation, the domain modeling methods and modeling technology based on ontology. And combining with the...

Adaptively Finding Optimal Routes under Principles of Spatial Cognition-A Hierarchical Reinforcement Learning Approach

Weifeng Zhao, Qin Zhang
Way finding research has paid much attention to the selection of optimal routes under principles of spatial cognition. However, the commonly employed implemental approaches suffer inevitably from the contradictions between personalized network modelling and network data sharing. This paper presents one...

Seed Extension Based Interactive Medical Volume Segmentation Method

Anjin Park, Hong-Lyel Jung, Joo Beom Eom, Jaesung Ahn, Byeong-Il Lee
This paper proposes an interactive segmentation method based on seed extension to tackle the problems of the min-cut/max-flows algorithm, which was extensively validated for many interactive segmentation applications. The extension is performed by constructing minimum spanning forests (MSF) from seed...

Content-Aware Reverse Tone Mapping

Belen Masia, Diego Gutierrez
We present an image analysis approach for reverse tone mapping of high dynamic range (HDR) content. The goal is to expand the dynamic range of existing low dynamic range content, to be properly shown on modern HDR displays. Most of the existing reverse tone mapping operators fail to offer a good solution...

A Novel Curiosity-Driven Perception-Action Cognitive Model

Jing Chen, Bing Li, Li Li
Aiming at agents' autonomous cognitive problems in unknown environment, a novel curiosity-driven perception-action cognitive model is proposed, which simulates intrinsic motivation cognitive mechanism based on the curiosity in psychology, and cognitive processes from perception to action is realized...

Research to Wearing Comfort for Women’s Jeans Based on Factor Analysis Method

Min Dong, Huimin Xiang, Xiangpeng Li
Nowadays people have a higher demand for wearing comfort on jeans, but there are few researches related to the impact factors of wearing comfort on women's jeans. Considering the needs of the market, we studied the impact factors of wearing comfort on women’s jeans in this paper. On the basis of literature...

Parallelization of Adaboost Algorithm on Intel MIC Architecture

Haibiao Luo, Haojie Yuan, Shendong Cheng, Ying Li, Feng Yuan, Mingzhu Wei
The Adaboost algorithm plays important role in many machine learning applications. But the computation cost is real expensive when the candidate features are in large amount. In this paper, we introduce a parallel strategy of the Adaboost algorithm on Intel CPU+MIC system, where Intel MIC works as a...

A Novel Fault Self-diagnosis Algorithm Based on Finite-state Machine for Space Information Network

Yuan Jiang, Ning Li, Fapeng Wang, Cong Wang, Lianguo Wu
the possibility of the development of space information network (SIN) was discussed in this paper, and a novel fault self-diagnosis method was developed. There is limited research of space information network, especially in fault diagnosis domain. This paper gives expectation about future SIN features,...

Mammography Compression in Narrow Band Transmission Environment

Zhiqiong Wang, Chen Zhang, Tianshu Wang, Jinhui Zhang, Yang Cui, He Ma, Yan Kang
Mammograms are frequent detection means in breast disease. But the limited bandwidth impedes the communication transmission of mammograms in PACS. In this paper, we investigated on the compression method of four mammograms in DICOM format in narrow band transmission environment. Firstly, according to...

An Improved TLD Tracking Method Using Compressive Sensing

Qiang Li, Xueshi Ge, Geng Wang
Visual Tracking, as an important subject in computer vision, has been widely used in surveillance, space exploration, and human-computer interaction etc. Both tracking-learning-detection (TLD) [1] and compressive tracking (CT) [2] are successful algorithms among those proposed recently. However, TLD...

An Improved Algorithm for Adaptive Streaming

Siming Zhang, Xueshi Ge, Geng Wang
With the development of network facilities and the wide spread of smart phones, traditional single bitrate video streaming strategy is no longer able to satisfy people's growing needs for high quality video streams. Most of today's adaptive streaming strategies are based on bandwidth estimation such...

The (s,t)-Relaxed L(2,1)-Labeling of Some Balanced Hypercubes

Taiyin Zhao, Xiaoqing Zhou
For two vertices u and v in a graph G, we denote by dG(u,v) the distance between u and v. If dG(u,v)=i, we say the vertex v is an i-neighbor of u. Let s,t and k be nonnegative integers. An (s,t) –relaxed k-L(2,1) –labeling f of G is an assignment of labels from {0,1,…,K} to the vertices of G if each...

Research on Optimal Design and Modal Analysis of the Frame

Kaifa Lian, Bailin Fan, Yuan Miao, Xueyang Zhu
Carry out the static analysis of the frame under different working conditions and put forward four kinds scheme of the improvement of the beam, longitudinal beam and traction plate. Besides, carry out the modal analysis of the frame, get the natural frequency and vibration mode of the frame, to provide...